How can we trust an agentic AI framework with the data in our Oracle AI Databases? Our new MCP Servers in OCI makes this much easier.
Enriching the metadata for your application schemas can make it easier for humans and agents (LLMs) alike to work with your data. Here’s an example for VIEWs.
Build a RAG pipeline so Agents can utilize your existing data for your business & tech challenges – with Oracle AI Database’s Vector Search feature.
How I taught my Agent how to use my 13 years of personal exercise activity to give me better training advice, using MCP, AI Vector Search, and RAG.
Oracle REST Data Services makes it very easy for developers to interact via your Oracle Database via REST APIs. Here’s a quick application showing off the power of our automatic query parameter filters.
You can do more, much more with your AI Agents, and having more than 100 skills for your Oracle Database means you can go faster now.
A quick look at how an AI Agent Skill can make frequent tasks go faster and more efficiently, e.g. SQLcl’s MCP Server & LOAD command to put CSV to a new table.
Not everyone is able to download their favorite VS Code extensions from the Microsoft VS Code Marketplace. We’re now additionally offering the extension packages from Oracle.com, just like we have for SQL Developer. You can now get the individual VSIX distributions from our SQL Developer extension for VS Code Download page! The license is FUTC, so there’s no click-through agreement required. As a new version of the extension is published, we’ll update this page, although…
You can now load your CSV data to new or existing Oracle AI Database tables with our handy wizard in Oracle SQL Developer extension for VS Code.
Managing your SQLcl MCP Server config in VS Code for your AI Agents can be handled via our SQL Developer Extension for VS Code, here’s how to handle updates.